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DIS
2009
Springer
14 years 3 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
IWPEC
2009
Springer
14 years 3 months ago
An Exponential Time 2-Approximation Algorithm for Bandwidth
The bandwidth of a graph G on n vertices is the minimum b such that the vertices of G can be labeled from 1 to n such that the labels of every pair of adjacent vertices differ by ...
Martin Fürer, Serge Gaspers, Shiva Prasad Kas...
WG
2004
Springer
14 years 2 months ago
Minimal de Bruijn Sequence in a Language with Forbidden Substrings
Let be the following strategy to construct a walk in a labeled digraph: at each vertex, we follow the unvisited arc of minimum label. In this work we study for which languages, app...
Eduardo Moreno, Martín Matamala
ICCV
2009
IEEE
15 years 1 months ago
Label Set Perturbation for MRF based Neuroimaging Segmentation
Graph-cuts based algorithms are effective for a variety of segmentation tasks in computer vision. Ongoing research is focused toward making the algorithms even more general, as ...
Dylan Hower, Vikas Singh, Sterling C. Johnson
CVPR
2009
IEEE
14 years 3 months ago
Automatic facial landmark labeling with minimal supervision
Landmark labeling of training images is essential for many learning tasks in computer vision, such as object detection, tracking, and alignment. Image labeling is typically conduc...
Yan Tong, Xiaoming Liu 0002, Frederick W. Wheeler,...